How Criclytics Plays An Important Role
How Criclytics Plays An Important Role

How Criclytics Plays An Important Role

Criclytics – The term seems really exotic, wanna know what it is all about and what role it plays? Let us delve into this article to know what this is all about…

Data and Analytics in sports indeed have a vital role to play in decision-making. In fact, it is being used in every field and has become a well-known concept to even the layman. Huge Amounts of Data Generation Under the International Cricket Council (ICC) there are 10 full-time member countries, 57 affiliate member countries, and 38 associate member countries, which rounds up the number to 105 member countries. 

Imagine the amount of data that will be generated every day for 365 days with the ball by ball information of 5,31,253 cricket players in close to 5,40,290 cricket matches at 11,960 cricket grounds across the world. Keeping track of each of these players’ performances, intake of calories, training levels and much more in the pursuit of improved performance on the pitch is where Criclytics will come into play. Instances like regarding who has a greater probability of winning the match and who the most talked-about players are. These highlights are identified by the prevailing reactions of the cricket fans by searching and scanning through billions of Twitter feeds and the results are visually projected. The same is applied not only to individual players but also to other factors like pitch information, climate, pitch length, ground information (helps in field placement and also helps batsman access which side is the closest one to the boundary line as the pitch is not necessarily always in the centre.

 If data analytics is implemented to the batsman’s practice and past performance it will provide information on what kind of deliveries the batsman is not doing well on, In what kind of pitches batsman gives his best performance. With an industry recommended learning path, on-demand technical, project, and programming support, hands-on project execution and a Masters certificate on completion of the course get all the training you need to fast-track your career and take on the world of data. It will give graphs and charts of his performance in different conditions hence he can easily find out in which area he is lacking and can work on that to improve his performance. 

Many teams are using this practice and even hiring a team just for the sake of data analytics. Widen Impact Index provides the correlated and proportional forecasts by leveraging the current as well as historical cricket data as the cricket match progresses. Hiring a dedicated analytics team empowers the team’s captain to make appropriate decisions since he is now using the necessary statistical tools that can predict the probability of individual player’s performance and what can be done to improve the overall team’s performance. Advanced Sports Analytics, analytics in cricket, business analytics in cricket, Business Intelligence in Sports, Cricket Analytics, Cricket Data Analysis, Data analytics in Cricket, data science cricket, predictive analytics in cricket are some of these fields in analytics in cricket. 

The Tools That Use Big Data Analytics for Cricket Insights

ScoreWithData – IBM Game Changer 7 hours before the first quarter-final of the 2015 world cup, ScoreWithData had predicted that the South African Cricketer Imran Tahir would be ranked as the power bowler. Thus, began the new era of analytics in the game of cricket. Hiring a dedicated analytics team empowers the team’s captain to make appropriate decisions since now they are using the necessary statistical tools that can predict the probability of, say, Yuvraj Singh, performing up to the mark, playing in the specific pitch under a certain weather condition against a left-hand bowler.

Sports such as cricket and baseball use data analytics extensively. The insights that one can derive from Criclytics equips broadcasters, players, and fans with enough background information to make the right decisions about the team’s performance. Fans sitting glued to television screens every evening.

 The ICC is said to be using the SAP HANA Cloud Platform and the SAP Lumira software to analyze the statistics on the scores, the performance of the players, the player profiles, and more, which updates information every 20 seconds. Fans obsess most about the players thus churning out information on every player’s performance is the top priority for the ICC. SAP and ICC have reportedly analyzed cricket data to see how important each bowler on the team is in winning the games. 

The fight for the trophy:

In fact, even before the tournament began fans extract insights from historical data and predict wins and losses. It empowers teams with the ability to make accurate decisions about a game that is known to be unpredictable. Playing a Pivotal Role in the World Cup The dependency on Big Data analytics by stakeholders was witnessed in the last  ICC Cricket World Cup where almost every team had its own crew of data analytics. CCTV cameras, wearable computers, and sensors are a few of the progressive high-tech devices that are used in the field, nowadays, to capture and monitor the rampant volumes of cricket data. Imagine a batsman who is not doing so well. This prediction through data analytics came true when the SA team won the knockout match against Sri Lanka because of the outstanding performance of Tahir making it an unforgettable experience for all cricket lovers.

We just witnessed the rage of the cricket season. What businesses can learn from it? As in the case of professional cricket where data is being used to show players where they can improve their performance and forecast the future performance of the players same as in the case of businesses. With the intent of creating a set of products to slot in fans in this multi-screen era, the tool makes use of 2 decades of historical cricket data statistics and data points which are plotted at the Data and Analytics Hub in Bangalore, India. Each player’s performance is influenced by the alteration and the combination of a list of independent factors like the opponent’s weaknesses and strengths.

To deal with this, the data analytics crew analyses and accrues the past data on the scores, the player profiles, the player performances, and others to come up with ideal team composition and answer questions like who to pick for the last over. 

Apart from this, there is also statistical data that will highlight the way the ball was swung during the initial stages of the game, the way each player responds to the delivery, and so on. Collectively, all of this data has the potential to create vast opportunities to analyze and make meaningful insights which in turn will help captains make the right decision on and off the field. 

In a tournament, New Zealand, South Africa, and India had dismissed teams the most number of times which is what is said to make them tough competition. They have also used the data to detect similarities between the skilled players using seven different characteristics. In the previous year’s world cup it was found that those countries who were initially recognized as the dominant ones, like Ireland and UAE, had strong performing players with similar characteristics. SAP and ICC not only want to use this data to deliver interesting statistics to the fans but also to improve the team’s strategies and performance on the field, which in turn will ultimately increase a team’s chances of winning. 

Data Analysis, when applied to a player, can record a player’s information and suggest improvements, give a breakdown of the information in different formats, provide graphs and other useful analytic interfaces that will help compare the information and more. Think about the data that is related to a single batsman – the number of balls faced, the number of runs scored, the strike rate, the number of fours and sixes, the strike rate against a particular bowler, the runs scored against a particular bowler, and so on. Now anticipate the data that is related to a bowler – the number of overs bowled, the number of wickets that the bowler has taken, the number of runs given, the number of runs given, the bowling average, and so on.

Criclytics – The fusion of Big Data analytics and cricket is what Criclytics is.!

Also read Top 10 Batsmen Vs CSK At Home In The IPL

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